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Posted to github@arrow.apache.org by "jorisvandenbossche (via GitHub)" <gi...@apache.org> on 2023/06/30 14:51:37 UTC

[GitHub] [arrow] jorisvandenbossche opened a new pull request, #36413: GH-29705: [Python] Clean-up no-longer-used pandas dataframe serialization helpers

jorisvandenbossche opened a new pull request, #36413:
URL: https://github.com/apache/arrow/pull/36413

   Small follow-up on https://github.com/apache/arrow/pull/34926, which removed the `pyarrow.serialization` functionality, making those functions obsolete.
   


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[GitHub] [arrow] jorisvandenbossche merged pull request #36413: GH-29705: [Python] Clean-up no-longer-used pandas dataframe serialization helpers

Posted by "jorisvandenbossche (via GitHub)" <gi...@apache.org>.
jorisvandenbossche merged PR #36413:
URL: https://github.com/apache/arrow/pull/36413


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[GitHub] [arrow] danepitkin commented on pull request #36413: GH-29705: [Python] Clean-up no-longer-used pandas dataframe serialization helpers

Posted by "danepitkin (via GitHub)" <gi...@apache.org>.
danepitkin commented on PR #36413:
URL: https://github.com/apache/arrow/pull/36413#issuecomment-1614838465

   Yay! Always fun to hit delete. LGTM


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[GitHub] [arrow] conbench-apache-arrow[bot] commented on pull request #36413: GH-29705: [Python] Clean-up no-longer-used pandas dataframe serialization helpers

Posted by "conbench-apache-arrow[bot] (via GitHub)" <gi...@apache.org>.
conbench-apache-arrow[bot] commented on PR #36413:
URL: https://github.com/apache/arrow/pull/36413#issuecomment-1627516626

   Conbench analyzed the 6 benchmark runs on commit `87ea3791`.
   
   There were 10 benchmark results indicating a performance regression:
   
   - Commit Run on `arm64-t4g-linux-compute` at [2023-07-04 20:00:48Z](http://conbench.ursa.dev/compare/runs/8b8249a342324aaab3b7f47b4ceba95a...feddde5e86284971ae93b6377f11d313/)
     - [params=simple_expression/batch_size:100000/null_prob:0/bool_true_prob:50/real_time, source=cpp-micro, suite=arrow-acero-filter-benchmark](http://conbench.ursa.dev/compare/benchmarks/064a46305644797680006295a41a2783...064a47ae298b76d58000af8041e7eed5)
     - [params=complex_expression/batch_size:10000/null_prob:0/bool_true_prob:50/real_time, source=cpp-micro, suite=arrow-acero-filter-benchmark](http://conbench.ursa.dev/compare/benchmarks/064a463051df7aac80004e98e1ba68b8...064a47ae235170cf800088068dd4964d)
   - and 8 more (see the report linked below)
   
   The [full Conbench report](https://github.com/apache/arrow/runs/14883216486) has more details.


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